Study on the influence of adolescent smoking on physical training vital capacity in eastern coastal areas

[1] Alinejad-Rokny H, Sadroddiny E, Scaria V. Machine learning and data mining techniques for medical complex data analysis [J]. Neurocomputing, 2017, 276(7):1–1. Search in Google Scholar

[2] Jad A, Jmba B, Mip A, et al. Use of data mining in the establishment of age-adjusted reference intervals for parathyroid hormone - ScienceDirect [J]. Clinica Chimica Acta, 2020, 508:217–220. Search in Google Scholar

[3] N Wisittipanit, Pulsrikarn C, Wutthiosot S, et al. Application of machine learning algorithm and modified high resolution DNA melting curve analysis for molecular subtyping of Salmonella isolates from various epidemiological backgrounds in northern Thailand [J]. World Journal of Microbiology and Biotechnology, 2020, 36(7):1–13. Search in Google Scholar

[4] Tian X, Xu D, Guo L, et al. Improved local search algorithms for Bregman k-means and its variants [J]. Journal of Combinatorial Optimization, 2021, (10):1–18. Search in Google Scholar

[5] Larijani M R, Asli-Ardeh E A, Kozegar E, et al. Evaluation of image processing technique in identifying rice blast disease in field conditions based on KNN algorithm improvement by K-means [J]. Food science & nutrition, 2019, 7(12):3922–3930. Search in Google Scholar

[6] Tang Y, Zhao T, Huang N, et al. Identification of traditional Chinese medicine constitutions and physiological indexes risk factors in metabolic syndrome: a data mining approach [J]. Evidence-based Complementary and Alternative Medicine, 2019, 2019:1–10. Search in Google Scholar

[7] Scaria L T, Christopher T. A bio-inspired algorithm based multi-class classification scheme for microarray gene data [J]. Journal of Medical Systems, 2019, 43(7):208–220. Search in Google Scholar

[8] Janowski A M, Ravellette K S, Garcia J G, et al. Unsupervised K-means clustering to identify signatures of right ventricle dysfunction in patients with pulmonary hypertension [J]. Circulation, 2020, 142(3):17308–17308. Search in Google Scholar

[9] Tuncer S A, Alkan A. Spinal cord based kidney segmentation using connected component labeling and K-Means clustering algorithm [J]. Traitement du Signal, 2019, 36(6):1–33. Search in Google Scholar

[10] Shan P. Image segmentation method based on K-mean algorithm [J]. EURASIP Journal on Image and Video Processing, 2018, 2018(1):1–9. Search in Google Scholar

[11] Wei P, Zhou Z, Li L, et al. Research on face feature extraction based on K-mean algorithm [J]. EURASIP Journal on Image and Video Processing, 2018, 2018(1):1–9. Search in Google Scholar

[12] Vera J F, Macías R. On the behaviour of k-means clustering of a dissimilarity matrix by means of full multidimensional scaling [J]. Psychometrika, 2021, 86(2):489–513. Search in Google Scholar

[13] Zhou J, Liu T, Zhu J. Weighted adjacent matrix for K-means clustering [J]. Multimedia Tools and Applications, 2019, 78(23):33415–33434. Search in Google Scholar

[14] Yu Y, Velastin S A, Yin F. Automatic grading of apples based on multi-features and weighted K-means clustering algorithm [J]. Information Processing in Agriculture, 2020, 7(4):556–565. Search in Google Scholar

[15] Lakshmi R, Baskar S. DIC-DOC-K-means: dissimilarity-based Initial Centroid selection for DOCument clustering using K-means for improving the effectiveness of text document clustering [J]. Journal of Information Science, 2019, 45(6):818–832. Search in Google Scholar

[16] Maithri C and Chandramouli H. Implementation of parallelized K-means and K-Medoids++ clustering algorithms on hadoop map reduce framework [J]. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2019, 9(2s):530–535. Search in Google Scholar

[17] Li Tao et al. Economic granularity interval in decision tree algorithm standardization from an open innovation perspective: towards a platform for sustainable matching [J]. Journal of Open Innovation: Technology, Market, and Complexity, 2020, 6(4):149. Search in Google Scholar

[18] Weiying Zhang. Research on English score analysis system based on improved decision tree algorithm and fuzzy set [J]. Journal of Intelligent & Fuzzy Systems, 2020, 39(4):1–13. Search in Google Scholar

[19] Wang Peng and Zhang Ningchao and Patnaik Srikanta. Decision tree classification algorithm for non-equilibrium data set based on random forests [J]. Journal of Intelligent & Fuzzy Systems, 2020, 39(2):1639–1648. Search in Google Scholar

[20] Fatima Es Sabery and Abdellatif Hair. A MapReduce C4.5 Decision tree algorithm based on fuzzy rule-based system [J]. Fuzzy Information and Engineering, 2020, 11(4):1–28. Search in Google Scholar

[21] Mohammad Gohari and Amir Mohammad Eydi. Modelling of shaft unbalance: modelling a multi discs rotor using K-Nearest neighbor and decision tree algorithms [J]. Measurement, 2020, 151(C):107253. Search in Google Scholar

[22] Bai Xiulian, Bayar, Hasqichig. Remote Sensing Technology and Application, 2014, 29(02):338–343. Search in Google Scholar